Job Description
We are looking for a visionary Lead AI & Quantum Systems Architect to define the technological landscape for 2026 and beyond. At Nexus Future Systems, we are not just building software; we are architecting the intelligence that will drive the next industrial revolution. In this role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms to solve complex, high-stakes problems in logistics, healthcare, and finance.
As a key driver of our 2026 roadmap, you will lead a high-performance team of researchers and engineers, ensuring our proprietary algorithms remain at the bleeding edge of technology. You will work in a collaborative environment that encourages experimentation and rewards disruptive thinking. If you are passionate about the future of computation and want to leave a lasting impact on the industry, we want to hear from you.
What You Will Do:
- Define and execute the technical vision for AI and Quantum integration by 2026.
- Design hybrid quantum-classical algorithms to optimize large-scale distributed systems.
- Lead the architecture of scalable, fault-tolerant machine learning pipelines.
- Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
- Collaborate with product stakeholders to translate abstract concepts into deployable solutions.
- Oversee the ethical implementation of AI systems, ensuring bias mitigation and transparency.
Qualifications:
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- 10+ years of experience in software engineering with a focus on AI/ML.
- Strong proficiency in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Experience with quantum computing libraries (e.g., Qiskit, Cirq) or a willingness to learn.
- Proven track record of leading cross-functional teams in a fast-paced startup environment.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Responsibilities
- Architecting hybrid quantum-classical models for 2026 scalability.
- Leading a team of AI engineers and quantum researchers.
- Driving the technical roadmap for next-gen predictive analytics.
- Implementing robust security and ethical AI protocols.
- Optimizing cloud infrastructure for massive data throughput.
Qualifications
- PhD in a relevant STEM field.
- Expertise in Deep Learning and Neural Networks.
- Familiarity with AWS or Azure quantum services.
- Strong problem-solving and architectural design skills.
- Ability to work in a high-pressure, innovative environment.